{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import svm, datasets\n",
    "\n",
    "iris = datasets.load_iris()\n",
    "X = iris.data[:,:2]\n",
    "y = iris.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6fcx4aU6DximEaFjaKAPfT0Ag4hUPuN5NRkiiFmQwjpOnzIOpmolMFStWNU4c3piDsRE0cJW4w7b5fQGoZtJTxepWQojmyk/MWr8A2h17u0g6GYzj1LV/FxypkXU1QwtlHH/+qEaLY/C4IyqXlKzKkeZg7Lkjw7ZltE2nS5/oCWZmi5lRZw1tsBiFEA1PmbLA3D3GK2ZwjG/scEQtyWAcJ7PZzF2v34g9xY7FGrpCdqTa6dC9PeffNqnR4mjTIZMrHvkt9hQbpvIlJh2pdo46/nBGTIrO2b3z39fjTHNgtYcma9lTbGR1yOCKP/+20WIWQjQMlfl4qBYvFSvkOcHUDpV2azLDEocgqU0JsmvTHma8NIe87fs55uSjGH/xcdid0VfMDW39ok3MevUbXMVuxp43klFnDas2H3j/zgPMmP41O9btZNCY/pxy+UmkZqQ0csRCiIagg3vQrv9CcDNYj0E5z0OZ0pIdVqsnecYipsL9xezasJveR/fAkRK9HnRVPp+fTUu30LFHNm07tamx7/w9BZgt5kPmOjc0wzA4sKuAlAynfNAQQiRdvfOMlVIO4AfAXt7+A631AxFtTgQ+BbaUb/pIa/1QnDGLBuTz+Lhh5DS2rNheue3480fyx//eHrP9M9e8xJcvf03FZ7cufTvywi+Pk5YV/Ul70/KtPHbxs6GKThr6DunFtLdvbvSFUBZ8sZinp75ESWEZ2jAYMXEod7x6LamZqY0ahxBC1KTGK2MVWmswVWtdqkLZ4nOBm7XW86u0ORG4Q2td64ekcmWcXNcecycbl22N2n7uLZO49qnwtZ7/+8Qn/Ovut6LaduyRzZtb/hG2raSglCm9r6esyFW5zWRStOmUxZtb/tFoC4psXLqFW8beFzY73Gq3MGj0AP76zQOH+EohhGg41V0Z1ziBS4eUlv/XWv4nOfe2RUKUFbtiDsQAn//zq6ht7zz+ccy2e7ftY/eWvWHbvnnrRwK+8PxGw9C4Sjws+GJJ/QKuh/f/9jk+T3gNZr83wJr5v8ZVg1kIIRpCrWZTK6XMSqllQB4wR2u9IEazUUqp5UqpmUqpQdX0M1UptUgptWjfvn31j1rEZV/ugWpf8/v8UdsOlS+9fe3OsP/v3rQHrzs6VzngC5C3fX8doozPro270Ub0Z0arzcK+HdXvvxBCJEOtBmOtdVBrPRjoCgxXSh0R0WQJ0ENrfTTwd+CTavqZrrUeprUelp2dXf+oRVy69u9c3ZofpLeJfgacnVN9zeJBow8L+//AUf1xpkVPBDNbTPQ/tk/dAo3DkccPjKp9DODz+Ol1RKwcTCGESJ465RlrrQuB74DTIrYXV9zK1lp/CViVUu0TFKNIMIvFwmm/i538f/1zV0Ztu+XFqTHbjjxzaNQErjHnDKdD9/aV+csANqeNAcP7cfjIwyK7aDDn3ToJR5oDk/ngj7g9xc7kG08jo116o8UhhBC1UeNgrJTKVkpllf/bCZwMrIto06l8ohdKqeHl/cq9wCbstpeu4dIHL8CRakeZFJnZGdzzzi2Mv2hsVNthpw7mzzOm0S6nDcqksDltnH/7mTz86d1RbS1WC8/+/AiTb5xIdtd2dOqZzUX3nMMjX97TqHWH23Vuw4tLnmD8xWNp2ymLHoO6cuPfr+Lqv0xptBiEEKK2ajOb+ijgNcBMaJB9T2v9kFLqGgCt9YtKqRuAawmtTO4GbtNa/3yofmU2tRBCiNam3nnGWusVwJAY21+s8u/ngefjDbK50lrz9Rs/8O5fPqYwr5hBY/pz1aMX0WNgt7j73rhsC3++4Gl2bdyDMimGnXI0D3x4BzaHreYvrsGr97zNh8/OwOfxk94mjWueupxTLj0hZtstq7bz6j1vs2ber7TplMVF085hXIyraAilN73+p/f4/v15mC0mTr3sRH57z7kJWZHs/b99xhsPvo+7zIMzzcllD/4f593SeMuONiX+YJCXlyzinVUr8AQCnNy7D7eNGkN2Svx51Nr/K7r0b+BbCuZsVOo1KOeZsdsaRejS58AzE7CA81xU2jWEligQQtSGrMCVAG898iHvPvYxHpcXAKUUjjQ7/1j0BF37da53v3nb93FJ7+ujZgW379qOd7a/WM1X1c5fr3yB2f/5Lmr7nf++jlMuOyls2/Z1O7l++N14yzyVi344Uuxccv9vuOAPk8Pa+n1+ph59B3u35IWqQxEqmtH/2L787bsH47pV/fqf/ssbD30Qtf3yP1/IxfecV+9+m6vfz/iUH7dvxRMIHWeLyUT7lBRmX3IFabb6f1jTgU3oA+eVV/ip+NlzQtr1mNLC5w9o7UPvP7O8iH3FTHw7WI9EtX2rUR9NCNEc1DvPWByau8zDO1UGYghdKXtdPt76c/TAURfP3/RqzPSc/TsOsOirZfXu1+fzM+e172K+9s/bXova9saD7+Fzean6uc3j8vLmnz/E5wlPY5r70S8c2JlfORBDaAbzhiWbWf3z+nrHDPDOY7Hznd+KMUC3dBsOHAgbiAEChkGRx8PHa1fH1bcu/TtoD+HLCbih7B9o7Q1v7JkNxl4ODsQAXgisAX/j5ZUL0dzJYByn3Zv2YjZHH0YjaLB2/q9x9b1+4aZqX1s4a2m9+921YQ/V3RApLSyL2rZuwUaMGB8KlII9W/dFtP01Zl5yMGCwYfHm+gVMaI3pQIwSkUDYwN9arN63F3OMq053IMCi3TtjfEUd+FYARowXVPkV8EHavxy0K7qpDoA/vg8FQrQmMhjHqX1O22oHg859OsXVd8ce1WeH9TyyR7377XCIfm12a9S2Tr07xGwb9Adp2ykrbFuXvp2wp0Q/G7bYLHTsWf/ccpPJVO0tT2VqfbdCczJiF9+wmc30ymobX+eWauY66ACYIs6huQfgrPxv7k4/fYZvIb9QgTmHgoICevXqxbZt2+KLSYgWTgbjOGW0S+e4c0dETaiyp9i4aNq5cfV9zd8ui7nd5rBy6uUn1rvflDQn/Yb2jvna2TecHrXt4nvPw54SsX9OGyf832jSssInC42/+PioxTZMZhNpWSmMmBhdV7kuRp4V9ZgFgOPPGxlXv83RsM45dE7PwGIK/xW2mExceMSRcfWtUq8FIidfOcAxEWUK/xCgnGeBOvgBrluOlWsuy2LaI/vBfgJ33303U6dOpUeP+n94FKI1kME4Ae545VrGX3wcVrsVq8NK205Z/OE/N3Dk2MPj6nfgqP7c8tJULNaD9YgzszN4celfMZniO3XP/Phw+ICsYPzFY5n6RHQe7uCTjuD2V66jTcdMrA4rNoeVk6cczy0v/T6qbVpWKk/98BB9BvfEYrNgsZoZOLo/z/z4MGZL7LrKtfWnD+9gyPjwgWbYqUdzzzu3xNVvc6SU4u1z/4/R3bpjNZmwmkz0adOWt845n05p8S1qouwjIfMxMLUnVKzNDs6zUZkPR7c1ZaDavg2Ww6lYuv6W68ezYHkbnn32eebOncvtt8euBCaEOEhmUyeQ1+3FVewmMzsj7sEyUu76nTjTnbTvEuctyAhlxS7ytu8n57DO2GzRt6irMgyDon3FpGQ4a5WmVJxfgtlsSnjJQo/Lw66Ne+jSt1ONNZhbg1KfD18wQFtnYus1a22AkQ+mtFqlKWmjEDCjTOl89dVXnHbaacyePZsJEyYkNC4hmrN65xmL2rM77QnJpY2lW/+chPe5d9s+PvvHV+Su28kRYw9n4u/GR912ruAudfPVf75jydcr6NSrA2ddd1qNaVsZbRtm2UlHioPeR/VskL6bo1AaU/x555GUMoG55lVtDSPIitx3CLg+xdBWUjIuYObM/9G5c2dWrVrVJAdjwzDA9S9wvQMY4DwXUm9M+IdoIWpLroxbqTXz1nPXKQ8T8AcI+ILYnTZSMpz8Y9FfaB9RGKI4v4Trht1FYV4xXpcXs8WMxWbmgQ/v5NhTBydnB0STYBgGS9ZfwID01aRYAhgaflkR4JLri/ju26Ucd9xxLFiwgM6d659v3xCM/WdDYG34RlMOtP9GBmTRoCTPWIR58sp/4CnzEvCF0oW8bh/FB0r4933vRrV99/FPyN9VgLc8lzoYCOJ1+fjrFS+ErjBEq7Vu15eVAzGAQnP7vbt59uFUTGmF3Hnnndxxxx1JjjKc4fk2eiAGMHaC+7+NH5AQyGDcKhUfKGH3lryo7cGAwfwvFkdt/+njBTHTt9wlbnZt3NMgMYrmoahkJg7TwZ+Nl98spluOhfFjU9mx/wuuu+461q1bx/fff5/EKCO4D7FIjPuTRgtDiKpkMG6FrA4r1a364UiNnqjjTHfGaBkavKt7TbQSKp2APvg2MnVKJu++1JmgNmE2p2M2m1m8eDEnnBB7zfPc3Fx69epFfn4+QOPkJatDzGU41GsNLCnHQjQZMhi3Qs5UB8NOGxKWMgWh3Oizrj0lqv3kG07HEbGQh8lsot/Q3rTr3KZBYxVNW4+Ol2Lo6EVXlNIMyPltjV/frVs3rr32Wu6+O1SOs1HyktNuqP619Bsb7vvWICnHQjQZMoGrlSo+UMLdp/6Z3PU7MZlNBHwBRp99LHe/cVNUPrDWmmevm87s177HarOgDU37rm154usHEp5qJZqfRZunc7jtGYJaAaGBebt6hCO6nl2rr/f7/QwdOpQrr7ySl19+maVLl2KLo9BFbRil06H0yfCNziswZU5r0O9bk2QcC9G4qpvAJYNxK6a15tfFm9m7NY8+g3uS0/fQM17ztu9j3S8baZ/TlsNHHiYVeUSlUm8BG3bPwGSyMqDzmditdcstT0ZesmEUg+s10H5IuQyTuV3NX9QIJEe7ZZM843K563ey4vs1ZLRLZ8QZxySkLjCESgcunLmM/D2FDBp9GL0OsXa0YRjMevVbln27ip5Hduc3t59Z44IbDcEwDIr3F1O0v4SS/FK01occYDt0z6ZD9/qvLy1qZ2dxMT9u30qK1cr4Xn1IbQZXRmn2NgzpGb16Wywefwmrd7xPIFBAl3Yn063t0cycOTNmXrLWGny/QHAzWPqCdVjCPgSaTBmQVrvb0lr7wPsDGPvBOgRl7X+Ithr8y0Mzts3dwDYKpapffS7yfFd3LOpK6yD4foLgTrAMBOtR8gG6CWs1V8YVt1rnvP4DSoHJbMZiNfPEnPvpO6RXXH3v+HUXt51wP16Xj2AgCApGnDGUe96+GbM5/JewOL+EKb2vx1Xsrtxmtpr5x8LHG3Uhi/278rl17B8p2l+CEQiiTIoBI/rxyIxpCfuAIuru6fk/MX3xQkxKYSp/43z5zHMY2bWa4g3NzK97vqOD70ZMysCsNEppPph/OH+5fz0zZ84My0vWRhE6fwoEt4M2QJnA3BPV9g2UqfEmWunAFnT+xaH6zrq8cpj9JFTWU1GDrNYedP5V4F8FaFBmMLVHtX0bZY7+IBt5vt25OzA+/ITv5nwdV462Du5F5/8WjILymBXYBqPaTEephlmYSNROq88z/vHD+Xzz5o/43D68Lh/uEjcl+aX88azH486V/dN5T1KYV4yrxI23vP8FXyxh5r++jWp736THwgZiCFU/uvPkh+KKoa7+cunfydu+H3d5zJ4yL2t+Xs87j8euGSwa3sJdO/jXkkV4g0HcgQBlfj9lfj+/n/EJ3kDzLxMZDPrJ8txChs1LmtWP0xLAbgrw/KOzuHHaJLp37x6Wl6yL/wyBTeUlGj2hvwMb0CWPNWrcuuAGMA6ALgvFgQe836Fd70e3LX0B/CsAd3nMZRDcgS6KfhYdeb5LfT52vPMenDaBjl26xJWjrYv+AMHdVWJ2g28JuvSlevUnGl6rGYy/ePlrPGXeqO1lRS42LNlS7353b97Lns17ibzD4HV5+WL6nKj2637ZGLOf4v0lFO4vrnccdeEqcbPqx7UYwfAPIT6Pn1mvRH+AEI3j/dWr8MQYdLWGn3K3JyGixNqQ9x0Osz9s28tvFtOzq5mRQ0OLcFTkJX/33XfgmQn4I3rxg3tGo8QLoAPbIZgLRN5BdIM7eoEc3B8Cke8zQfD9jNbhH8Ijz3fJvAVY2mSRNmAAP+Vur3eOtjZKwbcw9H3DeMEd/QFCNA2t5pmxz+2LuV2ZFH5v5C987fl9gWrr6cbq91CPBQLV1EVOtGAg8pe08WMQ0bzBYNRbPgAKfMHqz1lzYQS9aMJ/V6ZOyWTqlExWF4Z+PyvykrXW6L3V7XNjHgs/UM1zVh3jPUUf4r1EB8O6ijzfGaNHkjF6ZOX5rjgWdXeI43Oo+ERStZor4/EXHx9VkxdCpej6H9un3v12PaxzzOIKNqeNcRcdF7U9p5riCvYUe6OlCaW3SaPHwOhnkBarmePOG9EoMYhok/r1J8UaPZHPHzQY3a17EiJKrD4dx6FifNxwBSy4LeF1tJVSYBtN9FuUCexjExrXggULsFqtbNq0CYAtW7ZgtVr56aefwNwLImo4h9jBOSl6s+MUql7j5O7002f4FvJL+qBMaWELeTTU+VamzNBktygWcJxa735Fw2o1g/GpV5zIYUP74EwLrTBlsVmwO21Me/MmrHHMZDaZTNzz9i04Uu3YHKF+nGkOuvXvwjk3nxHV/sGP/4DJHHHYFUx76+Z6x1Aff3jtBlIzU7A7Qx9QHGkO2ndtxxUP17xQg2gY43v3YWz3HpVv0BaTCYfFwsMnjSfD3vwn3ditKWwK3o07YMEXDP0OlPmtbCntzpCe0bWxVcafQGUBFau8OcHUBpVxf0LjGjFiBBMmTGDSpNDgOnHiRMaNG8eYMWNQyoTKegqUk8rKWCoFLL1RKZdHx5x+O5g6hNoA3XLSueayjkz7S+j/VRfyaMjzrTKfKF9NzHEwZnMnVPotcfUrGk6rmU0NEAwGWfDFEhbNXk6bDpmcctmJdOyRmFSdA7sLmP3a/8jbfoDBJw5izDnDsVhjPwUozi9h+p1vsHbBr3Tt14WpT04hp0/jV7UpPlDC7Ne/Y+eG3Rw+4jBO+L9RDVYCUtSO1pqfcrfz9eaNpNnsnHv4QHq3aVkLq+wuXMuW3a9i0gU4UsdxZNfzMZtjfyDWRina/SkE1oPlcJTzTJQpLeExuVwu2rVrx2mnncbMmTPZv38/aWkHv48O5qHdH0FwN8o2AhwTUKqamLUH3F+g/SvA0ouA5QyGHTs+5kIeDXm+tVGAdn0Cwa0o29HgmFirutSiYcmiH42gIK+Ion3FdOnbCZs9cXnDhmGw49fdOFLtdOhWc33ZNfPWU1JQxtBTjsJiaTXTAkQzooN7QZeEUpVUcn5GjWCQ5bsXEjCCDM0ZyWOPP859993HY489VrkkZX25vHvIL55LespgMlP7ykIeopIs+tGAXCVuHr/kORbNXo7FZkahuPqvU5g0Nf5fuoVfLeOJy57HU+bBCBr0OrI7939wR8xBefVP67jr1IfxukITS5RJcdWjF3HBHybHHYcQiaCNfHTBTeBfBsoCWNEZD2Fynl7TlybUT5u/pkPgHg5LKUGbFLlbnPz7rXxMJhPz58+vd79GMMiO7eeQ41hHZ4Bi2LuvPTO+GJyQhTxEy9Vqnhk3pMcueY5Fs5fh9/pxl3hwlbh58bbXWPjVsrj63bFhNw+e9ySFeUV4yrz4PH42LNnCneMfjJqVHQgEuO3EByoHYgBtaP5191us+GF1XHEIkSg6/2rwLwF8obxhXQRFd6H9jfczWuguYID5VnqlFeK0BEmxBPj5613kbtrGhzPfY8aMGSxbtqxefW/JvZYcxzqUovLPjg07mT3rNebPn8/TTz/N7t27E7tDokWQwThOBXsLWTx7OX5veEqQ1+XlvSc+iavvGS/OJuAP79cIGhTsKWTV3HVh2z9+9suovOEKL9/1VlxxCJEI2r8BAhuAyPQ5H7rs340Wx5w1L2E1GZjK3/0Mw2DqHXu597b2eLN+YfLkyUyePLlefXe1hVb4q6C15oZpeTz7UBadOmfFtZCHaNlkMI5TYV4RFlvsu/37duTH1ffebfsI+qNzBpVS5O8uCNu2e9PeavuJbCtEUhh5EHPSkxFaP7mxwgjuxWY6+Ht12Y15ZGWaue/mLMw6j7fffpu8vDyeffbZOvdtUeEfiF9+s5huORYmnJCK25dX74U8RMsng3Gccvp1Di2RFMFsMTP4pCPi6vuY8UdiT4me3RzwB+g/PDyP8FD5wUefOCiuOERy1KXYfF0L0yelkL11IOjoVfDADvYxCf1Wh9q/NhmjCeiDb32P3tMOixly9yksjmMpKyujY8eO9bo6Lg2khL0dTJ2SybsvdcbQinRHr8qFPE444YR4d1G0MDIYx8nmsPG7xy8OGzTNFhPOdAcX3XNOXH2ffOkJtOuchdV+8MrbkWpnwmUn0Klnh7C2x4w/ii59O0b1YbGaueapy+KKQyRHXYrN17UwfTIK2StTG0i9qjxnt4IVTJmolEsS+r0OtX8n9zuXpQdycAVCv1fdcqxcNaUNtz5UxMSBV8V1LIptdwEHP59rHfqzPXA+JnP1lZuEkNSmBPll5lLe/cvHHNiZz+BxR3LxvecmpNxgaWEZ7z/5GT98MA9nmpPJN57OhEtPiFkKLRAI8Mzvp/O/d3/CCAQZMKIf0968ScoeNmN1KTZf18L0yShkr7UG76zQM2KjAOzjUKlTUQ1QS/hQ++fylvH58gc4KvMnzMpg4b6hPHrN91x91dVxH4ud+z/DVvZnMq3FuIIOCs1T6dnlukTummjGqkttCq0Bm4Q/Q4cO1UKIms2aNUsDevbs2QltW5/2zU1DHjsh6gNYpGOMiTXmGavQki0/AHZCeckfaK0fiGijgGeBiYALuFxrvSSujw+19PNnC3n1nrfZsyWPzn06ctWjFzNy0tCYbbetyeXF215j5dx1pGamMPnG0/i/O8+OqjnclKycu5ZHLnyaA7sKUAoOH3kYj868l9SMlKi2Po+P1x54j1mvfovP6+fY0wZzzd8uq3ahkDmvf88bD79P/q4Ceh7RjaufmMLRJzTt58tfb97IX3+eS25xEd0zM7lz9FjG96r/2uIVdhYXc+VnH7Eh/wAAPTIzeeWsc+jdJvqKTWvN68uXMn3JQgo8Ho7u2Il7xp7IkR2iHxPU1e7CtezafS/909fhDVr41TWOGV/4Y+aoau1Flz4HrvcBH9iO58sv3dXmsy7c9Dyd1Ou0tZWww9WRYModzJz5dZPOfzUKbgLvrIMb7GdgavN0zLYbDhzgzz9+x6JdO0i32bns6CGs+/LLmPtX7NnPms13MyBtASalWVcyhI8/s1dznDXa9QaU/QuMQrAeicqYhrLGNyekrmKdb5UxDWWOvXqf4foYyl6AYB5Y+qEy7kLZhjdqzHWlPd+gS/4GwR1g6Y5Kux3lOCl228BGdPGj4FsMpjRImYJKvTqqxnRzUeNt6vKBNlVrXapC67/NBW7WWs+v0mYicCOhwXgE8KzW+pAVBxJxm/qHD+bxxOXPh+XW2p027nn7FkaffWxY273b9jH16Ntxl7grn+fYU2yM++1x3PbytXHF0VB2btrNFYfdFDU/LDM7gw/2vhLV/u5TH2blj2vxeUKVWUwmRUa7dP69/rmoYhafPP8l/7r7bbyugxNq7E4bj391H0ccd3jidyYBZm5Yz+1zZoWVnXNYLDx76hlM6BNrYfzaCRgGR/7zObwRlZHMSrH09zeQFnG78omffuS15UtwV4nDabHw8QUXc1i7mldIq06haw/BfaeQYfVQsXz5guV+Lrl+P//7dnVUsXkj/wrwLaKiZN+yVT6mXJ/Hl18tZOzxp4e1nf/roxyR8iYploMxL1geYMpNQb6d82NchewbinFgKvi/i37BfiqmNn8P27SzuJjT336NMp/vYCmK3Xsofuc9lvwQvn+GEWTzphPomrIfmzk0+3nRCh9TbtjLF7OWM+7Ek8OPc/GT4H4DwkogOlHtPkBZ+yV8v6sTeb7BBCoLlT0bFVHMwih7HUr+RqiucgUHqu2rKFv0HdKmwHDPgqI/EKq/XMGBynoK5Tg5rK0O7kTvP7O8XrOubItzEqbMRxsp4vqp7jZ1jRO4yq+sS8v/ay3/EzmCnw28Xt52PpCllGrw3+qX73ozbCAG8Lp9TL/rjai2H/ztc3xuX9jA5nX5+PrNH8nf0zRTf1648dVYE7Up2lfMvM8Xhm3btHwrq35aVzkQAxiGxl3m4at/h9coDgaCvHb/e2EDMYSO3av3vpO4HUiwx3/6MarerycQ4PGffoir3+mLF0YNxABBrfnbvLlh20p9Pv69LHwghlA5vOd/qf/KTQBrt7+AwxyoHIi11tx27x6eeagNRkpeWI6q9q8NXRGUvzFrrbn+7r089VBHumX/EtY2EPQxwPFO2EAc6ns3d93Vju7duzfN/NdYAzGA96uoTS8vXYQ3EKh8Y9Jas+vd93FOmoizXbuw/Vu942M6OgoqB2KtNTffs5cnHuhAId+FH2ejFFyvRQzEAF502T8SsJO1E3m+QwzQLrT7w/C2OgClzxE+EAN40CVPNXCkcSh9gvCBGEIxPxHVVJe+Wj4zX4e1xf0ZOrivAYNsOLWaTa2UMiullgF5wByt9YKIJjlAbpX/7yjf1mC01uzZkhfztVg5t+t+2UAgRs6uzWEld92uhMeXCJuWV59msvSblWH/37JyOyZT9On0unys+2Vj2Lbi/FK8ntj1nbesappF7LXW5BYXxXxtW1FhXH0v3V39+V++J3y1pNziIqwxjrOhNSvzqs/1rg27Xo2zyoBZkaN6wth0DhQvDc9RDfwKVW7HHcxntYJ/eVjbIncednP4h4eK9r85OfThranlvxp1rN+8fM9u/MbBHN+SeQuwtMmi7RGD2FSQH7Z/Ze7VWKvkGVccizPH2/F5V4Ufi+CO6nOj/avqu3t1F3G+D/KAf3n4JqOomhQyyhddaXq01qFjHUswxnuSfwWhWtMRlB0CmxMaW2Op1WCstQ5qrQcDXYHhSqnIhyWxqm9HXdMppaYqpRYppRbt2xffpxelFG07ZcV8rV3nNlHbeg7qFl26EPB7/XTu3SFqe1PQpW+nal87bFj4c9IufTtFLZEJoQ8bPY8Ir12c3iYVsyX2c5XOveJ/7tkQlFJkp0TXjQbomBpfFZ9D3VruG/Fal7R0fEaMhViAvm3jq7bjoTfe4MGf0YocVZPSZKT2D89RNfeg6q9YRVuwg+WwsLYZjvYEjPCf/Yr2+7yhmJOV/1pdPnDujmremKtxWLv2mKtkGKQcPgDvtu24i4volplJcXEx+fn59OzZE7u9Nz7j4M9/xbEoC1iwWPtEHOfOoGN9cFVg7l2vfa6XiPN9UOh8hzFlVDNwA+auiY4sIZRSYKom68MU4/3Z2heIsY/aB5boWu3NQZ3yjLXWhcB3wGkRL+0Aqh6BrkDU5YbWerrWepjWelh2dvzpNlMeOD9qUQx7ip3LHrogqu1v7jirst5wBZvDyrBTBzfZ1J9rn7485nZnqp2TLwl/0zx8RD+6DciJWg3Marcy8Xfhz1ssVgvn3XpGjGNni3nsmoqbRozCGVGFymmxcOvI0XH1e+OIUWFv5BUU8IfR4YXsMx0OJvc/HEdEHHaLhRuOHRlXHP1yrsdvmDGqPkoJmsh1daJfx+PDG1uPDhW+J+KqTdlQzv8Lb2pxsLLs9Mq82grugAW3PbnzJQ6Z72yuZoKUJXqC5tXHDMNmPrh/ljZZtBk7BvO335OTnhHW75HdLqDE78RvHDznAUPhDVo5ovvlYf0qUyY4z6KyLnAlOyqtEdOV6nC+lbJCyhUcrANdwYFKb9y66XWSegPRMTshLTpmlXoVqMjUMzvYx6LMXRoqwgZV42CslMpWSmWV/9sJnAysi2j2GXCpChkJFGmtG3w19DOmTuDqv1xMRvt0TGYTmdkZXPO3Szn18ujZdz0O78pjM++lR/kVss1h5ZTLTuSet5vuD+dhx/TmnnduwVFl0OzQI5t/rY6eTaqU4i+z/8hx5wzHYjVjMpsYMLwvT//wEG06ZkW1v/SB/+O3d08mJcOJyWyifU5bbn/lOkZMPKYhdykuFx1xFHeNOZ42DidmpWjrdHLP2BP5zcD4ZrU6LBY+vfBi2joPvhFk2Oy8de75tE+JnrX+8Eknc8mRg3FarJiUokdmFi+ecTZHd4pvmkR2Ri/22aezqaQLQUPhC5pYVTSYnO7vRbVVSqHa/gccEwi9QZvAehSq7dsoc/SV/sjD/sKK0rMo8dsIGIo8dxprfbdwdPcL44o5EW699Vbmz5/PM888w9y5c7n99ttDL7R9H8wRkwnNR2BqHz2voW/bdvxn8rn0a9sOk1LYzWauuu46LDt3R/VrMduwZb/P2qLDCBiKgKFYX9wTb8bbpNgyo/pWGQ9CykXli5WYwNwd1eaFUI3gRlLX863SboS034NKA8xg6giZj6HsJzZazHWlUi6E9DtBtQHMoNpC+t2YUs6Lbmvpi2rzCpj7ERrG7OA8B5XVhJ+J16A2s6mPAl4jdE/ABLyntX5IKXUNgNb6xfIZ188TumJ2AVdorQ85VTqRi35orfG6fdidtpiLYUTyeXyYreYmndIUqbSwFJvDhs1R80IEwUCQYNCoVU1lwzDwe/3YHLU7dk2B1hpPIIDDYkl4zC6fDwOiZlDHYmiNLxjAYUlc7eoKXn8ZZpMVi7nmOLQOAAYq6kohmmEE8QVd2MypMecYJMuh6v2Gnh/vBTrWahUrbyCAxWTCbDLVWEfYH/Cg0dgskVdk0bQ2AB+hbM/kqcv5rogZ7M3q9zs0kctRq5i19gKWZpPSVO96xlrrFcCQGNtfrPJvDVwfb5D1pZQKu3qsjrvUzRfTv2be54to2ymLyTdOZNDo/o0QYfzSsmr/XNRsMVf7TDiSyWTC7qz52DUlSimc1sQOgFprvtq0kfdWrySoDc49fBCT+vXHXM2AtSpvL/9etoSdJcWM7d6DS44cTKYjcW/Sdmvs5+ORfti2lbdWLqfM5+XMwwYwecBA7JbYv9Yb8w/w6tLFbCrIZ3iXrlw6eEi1z+ELPW7eXLGMudu30TUjkyuHDGVgduy5FVoHwPMF2v0xYEOlnA/2k6t9I124awevL1/KfpeLU/r05YJBRzFz5sxq851DA3DNtx7LfD7eWbWCb7ZsIjsllcsGDzlkvxC6hV9bSpmIvl3d+JSqfRn62sasjUK0623w/gTmrqjUy1DWgXFEWX+hn5uaPxwdbN+83r+q02qWw3SVuLlu2F3s33EAr9uHUmBz2rjmqcuZNLXpLXYgGtcf5sziyw2/4gqEZmimWK2M6tqN6ZMmRw0qX25Yzx1zZuELBjG0xm42k+VwMuO3U2gX47Z2Q3ny57n8e9niyjQrp8XC4e2zeee8C7BGXEH+nLudqz//GF8wSFBrbGYzKRYrn/32ErpmhN+a3ecq48y336DI68EbDGJSCpvZzNOnTOTUvuF5tVob6IKp4FtIZSqNcoLjLEyZD0fF/NryJTxRnqKmCT0iyMgvpPjt/zJr1qx65zuX+nyc9e4b7CktxRMIhGaU7t6D9/2P+Pnb/zXJPOqmQgf3ow+cDUYxodQpE2CDzL9hcsp7Y6LVO8+4pfj8n1+xL3c/XndoZqTWobSfF297DXdZZG6baE3W7stjxob1lQMxgMvvZ15uLgt2hs/q9QeD3PvtHDyBAEb5B1lvMEi+28X0xeG53w1pd0kJ/1q6KCzf2R0IsO7Afr7aFJ6+orVm2jezcQcCBMtj9gWDFHu9/PXn8DxqgH8sXECBx12Ze22UPxa459s5BI2Imtm+eeBfRFhOq3aD+1N0IDylrtTn4y9zf8RdJR/Y7fez4tV/M/Gm6+PKd35rxTJ2l5RU5qEbWrPz3fcxn34q7Tt3bpp51E2ELvtnaJ3wyhxmA/BA8X1oXbcUM1F/rWYw/vnThWELYlQwW0xsWNw889JEYvy8Izd6kAFcAT8/bt8atm1LYQGBGG39hsHXWzY1VIhRftm1I2a+s8vv5+vN4XEUeNzsKS2Namugo/YP4H9bNofl7FbwBgNROd3a+wNoV4wINXh/DtuyfO9urBHphSXzFmDKymJHdmgSUn3znWdv3hi2cEtFnnHmoMNZlbe3yeVRNyne74BArBcg2IAlNUWYVjMYZ7bPiLndCBqkt6nd8znRMmXa7WG3dQMFheQ++AgWj4c2DmdYLdwMuz3mYAzQphbPjBNVRzjT7kDFSO83KxV1q9xpibVoXki6Lfp5W+Sz74rj4S0pId1uD4/Z1AY4OJEod6efPsO3kF8ImLLC2mbaHZVX5hUyRo+kw+VTaOsIPSM8VL7zoY5dO2dKzH6DhkGG3Z7QPOqk1IJuSCp6BjkAOgAq9vumSLxWMxhPvmliVF6tyaTo2CObnkd0T1JUoik4tU+/sGHN0iaL9ONGs++zLzir/4CwHNVOaekc2bETlojnyE6LlSuHxC5QUlWi6giP6dYdW4xJelazmQsHHRUem9XKhN59sUU8R3ZaLFwxODqV7cohQ8sH8BBLmywyx45Bz/kf2SmpYTEr52Sqvo10y7FyzWWZTHtkN9hPDms7KLsDHVPTMEUdOwuXx4gj0qGO3WWDh0TloJuUomtGJv3jWC+8rnE0Ryo1Vk6yBWzHxEybEg2j1UzgAnj/b5/xnz/+F4vNjBE0yO7Wjsdm3kfHHk1z0Q/ReBbu2sE1Mz49eHs2aFD2939y4zXXRNW33ecq46pPP2JTQT4WkwlfMMjvjhnGbSPH1CoVI1F1hNft38eVn35Eic+LSSmChuaR8RM4u390oY8Sr5ffz/iUZXt3Yy2P+ZwBA/nzuAlRg6PWmid+/pH/LFuCzWwmYBj0zshk8+NPcvXvfhcVs/b8D110e8VX4/dbOPb0Iq686rqotrlFRVz+6YfsLSvFrBR+w+DO0WNjfiio67F7efFCnpr/M1azCUNrOqel85+zzyMnI/FXd8moBd1QtNbokifB9XpoIQ0dAEtfVNuXUab4VpUT0aSecbnSwlK9aPYyvWHJZm0YRlJiEE2TPxjUv+zM1fNyt2tvIFBjfdu1+/L0D1u36AOusjp/r0TVzg0ahl6ya6eeu32rdvl8NbbflH9A/7B1i95bWlJj2/1lZfqHrVv0+v37aozZMLza8MzThnehNoxDHzvDMPSKvXv0D9u26GKPpxZ7Ge5QfRd5PPqHbVv0qr17Gvz3u6XVPzaCB7Th+VEbvl+THUqLRjX1jFvNbeoKqZmpDJ1wNH2H9Go2SfCicZh1HsMy/8eINt9i1bvCclQj7Xe5eGP5Mv6zbAlfbvgVo5rnyFCe/uOdiy59Ge2Zhda+Q/ZdFyalGNK5C2O69agx97rE6+GtFcv597LFfLR2TbXPvkMxa9paVnNc+6/pl/IzWrsPHXNwDwTWgX8dGPsP2VYHdzPI9jRj0h8l1YiuwFRVwDD4evNGXlr8C99s2UTQMA7Zd4bdztjuPRnUoWNCf79dfj8fr13D9MULWbRrJ1rrhJ3DpkKZ2qLsx9WqLKQObEeX/Qdd9iY6GF+BlHho/0p02Sto14ehClvNWKu6TS1EdQzXB1D8IKEVqQ2WrfIw5UY3M7+aF5WjOnPjr1z/5edhX5/lcDD38qtJibhVqY1SdP4lENwaWsRe2Vm2Wof6njmn0fJff9mxg4s++i9Vh1+nxcL3l18dteSn1j50wdWhakDaB8rGslV+ptzoY+asb6LrKpe+BKXPE5okZmLZKhdTbvIxc9bc6LZlb0LJQ+HBmbpC+9mYTOHPfPe7XJz//jvsd5XhDQSwWyw49+dT/M57zI4jJ7mu1u3fx28//C8Bw8AbDGI1ment9bLpX/9h1syZrS6HOfJ8g4aMhzGlTG60GLQ2Qo9GPN8Sqt5kA6VQbV5F2aLWqGpSWn2esRDV0cG95QOxF/CgtZfr797JU3+y0a2LPyxH1TAMbp71RVQfhR4Pd8yZGd136XMQ2Fie/hNAG6Vc/4f1PPVQt0atI/y7zz8m8jrYHQhw9ecfR8dc9gb4llaJuYzr79rMUw+2iYpZ+3+F0hcIHTsfWrtDx+4BM91yUiOOnQdKohcCwdhRXss23J+++4adJcWU+f0EtKbU52Plq/9h4JSLG+3Yaa257svPKPJ6Q3EYBi6/j2/+/gJn3BhfbnRzFHm+Q8tWeqH4j+jggcYLxPMFeL8llN8eAFygy9CF1zXb3GgZjIXwfk3VKqAHawM70O5ZYTmq83bkVnt7939bt0RvdH9G6E0rou8xu9CGq1HyX3eXlFDqj12/euXeGLcY3R9Qtch7Zcxj3ejgzrCYtecLqtaVPXjsMsD7dfj+uT+iuhQr3J+E/VdrzZzNG8OOdcm8BZjbZLE2I5SK2BjHbltRYVSOdkVu9OqMtEaLo6mIPN8Hmcp/jxopDtf7ocVlol7wNG6d6QSq/SKnQrRU2iCyNvDUKRW5l0ZljirAD9tiDLgV3dRi69EDbdw4LY9NW3z07aDZvn07K1aswFLNetKJENSHeDYcM+rwbQePhwJtYLYcPB5GyaKw9qePS+Evf88nv8BPuwwdVkcYYhSJr+Z7xtqSMXokGaNHVm6vel4aiqF1VDZ3RRwVK7A1RhxNR/jvykG6mu0NGUd9Xmu65MpYCMf4al6wohynhG05rluPmLWPIZT7G933RKrWoB0x1MmEE1I489I8lCmViRMnMm7cOMaMGVPP4GvWNSMzKge3wuHtY6T1Oc8mZnEBc8eo4vTKcTpVF/04mGe8B+wnhefgOqNL4VVyTArvVylO6tkr6libleLkXn2q7yfBemW1ibneuMNi4bwBySmkkEyR5/sgDfbo0rUNFofzXGIXk7CC9chGiyORZDAWrZ4ydwnVUcVO6GaRGXBA6lUoa3hVL5PJxGPjT43qI9Vq4+lTJkb3nX4rmLuBqnhDT+G9fw1gW66Pc845hy1btvDhhx8mepei/GPiWVFXeDaTmZcmTY5qq1KvAGv/gzErJ6g0VNYzUTOUlXUgpFxGaPA2AxZumdqJBcvSePbv74TVETaZUiAtxrNVU3tInxa1+cETx5Odmkpq+SzxVKuVjqlpPHDCuLrtfByUUvz99DNJs9oqP9CkWK0Myu7ApUc37YlCDSHW+QY7pN+NMndsvECcZ4FteJXfKzsoJyrr2TpVtWpKZDa1EOV0YCvaMwt0EOU45ZApHrlFhfz157nsKS3h+B49uWbYCCzVlFvU2g/eb9H+tShzN3CczqOPPc19993HY489VrmSU0PbV1bKEz/PZVthAUO75HDziNE4qrli1toA3w9o37LQm6zjDJSp+sUztH892jMHpazgOJ3Z36ytvj6x/1cofRaC+eA8HZyXVFtb2RsIMHPjBjYVHKBf23ac2qdftSUiG1KRx8Pnv64jr6yUoZ1zGNujZ9RiKa1J5PlWlsZfxVBrDb5f0L55ocVJnJOaxSIl1c2mlsFYNIigYbB6Xx5Wk4kB7bObRU631pq1+/cR1JqB7bOrrWVcHzvyV7Bj/2zaZQyjX6cTGTJkCCtWrODMM8/kk08+iSvmDfkHcPv9DMzuEFU6sbFoHYTAGsAClgHceuutvPfee9x5553ceuut0e0DW8AoAusAlEp+jWAhGkt1g3HzvJ4XTdrPudu5adYMvOWl8rIcDqZPmlxtcfqmYGXeXn4/4xOKvV4U4LBYef70SYzo2i2ufo1AgI2bx9EnfQ+d0wE9nZf+7mXNmj3MnTuXsWPHsmzZMgYPHlznvjcX5HP155+wp7QEszJhMimenHAaJ/fuG1fMdaW989CFtxJKd9EsW21hzuxC5s+fz3HHHceFF15YmYOrg3vQBddAYDMoC2Cg0/+IKeUQz5OFaAXkmbFIqLyyUq7+/GPy3W7K/H5cfj+7Skq46KP38ARipUQkX5nPxyUfvc+e0lJcfj9lfj8H3C6u/OxjDrhilQesvSW/Xkif9D0oBUqFbv/eMS2XW27qwKhRo5g8eTKTJ0+uc78Bw+Dij95ja2EB7kCAUr+PYq+Xm2Z9weaC/LhirgsdzEMXXgM6P5TnaZRx/R9W89SfTHTr1iE8J1lrdMHvILAe8IAuDeUyFz+I9i1rtJiFaIpkMBYJ9cm6tZUpH1UFDYM5mxuv3m9dzN60MWb6j6E1n/26Lq6+j8paSdU79JfdmEdWpplHb3NS4t7P22+/TV5eHs8++2yd+p2Xu51Snz8qmSRgGPx31cq4Yq4L7f4UqiyycDDPOBU8EXnGgfUQzAUiF2Xwol2vNVrMQjRFcptaJFReWVlYkfcKAcOI+yqzoRxwu/DHiNkbDLCvrCyuvs0qfLh844VOAGgNxZ695LRpj6sex+WA202svM6AYbCnrBHX6DX2U3VRk8qcZO0HIz8sB1d7fyL2W46GJK5vLERTIFfGIqHGdO9OSoyCBUqpuJ+/NpQRXbvFnAmdYrUyqlt8MR/wphBrjmRAKzqn949+oZaO7ZITcyWwFKuVE3v0qvHrc3Nz6dWrF/n5oVvaBQUF9OrVi23bttUpDmUfVSW9pCpTKPWkKuuRobWuo9jBfmKdvq8QLY0MxiKhTujRiyM6dAxbZMJpsXJK776xF5hoAo7s0JGTevbGaTn4IcJpsTC4Y2fGdIuvYPwudRdA5YCsdejP4uLzMcWRopOTkcGFRxwVFrPDYqFnZhYT+x1W49d369aNa6+9tjKtKmxxjrqwHQ+WQYQtEqKc4JiAsg4Ia6pMGZB2I+GLNdjBnI1Kuahu31eIFkZSm0TC+YJB3lu9ko/WrcFiMvHbQUdx9oDDm3ReZtAw+GT9Wv67eiUBw+C8wwfxfwOPSEiq0JqdM3G4Hqajs4AiXwq7+D3Dek+Nu1+tNbM2beCNFcso8/k487ABXHzk0TWWUqzg9/sZOnQoV155JS+//DJLly7FZou1ulJNcfhCawV7PgEsqJQLwHEWSlWTd+39AV32GhgHwHEyKuXSQ+YwC9GSSJ6xECLKV199Ve3iHEKIxJM8Y9HqrMzbywP/+5oVeXtJsVq56IijuW3UGGxxXu0GDYN/LFzAq8uWUOz1cHj7bO4/YRzDc7rGbP/N5k08Mvc7thUW0j4llRuGj+CSIwc36kIoWmu063UoexGMfDD3RGVMY+bMmXTu3JlVq1bJYCyaFe1fhS5+EPwrQ/MWnBei0m9Bqbrf3WkK5MpYtEhbCwuY9M4buPwHc5sdFgsTevfh2dMmHeIra/bg99/y3uqVuAOBsL7f/82FDOoQvj7vD9u2cs0Xn+Kp0tZpsXDryDH87pioD8cNxiidXl6H9mDZuWWrNFNuCjBz1vccd9xxLFiwoHJxDiGaMh3Yhj5wdnnN7QoOcIzHlPV00uKqjequjGUCl2iRXl6yCG+VARDAEwjw1aaN7CktqXe/xV4v765aETYQQ2gN5ecXzo9q/+S8uWEDMYA7EOD5X+YTrKYucqJpHYCyf1J1INZac/3dO3jq4W507949bHEOIZo6XfYKaG/EVg945qCDe5ISU7xkMBYt0pp9eQRj3PWxmy1sLSysd787S4qxmqJvc2tg3f79Udu3FhbE7McdCFDii3wzaSBGEejwDwSVi3McFxqgwxbnEKKp868levEYQNkhULf0vKZCBuMWKlF5pM3VoOwOMesOe4MBemZl1bvfnPQM/Eb4m0CgoJDcBx+hlz2U3lP1WPfMahOzH6fVQrrNXu846sSUCSp8hvXUKZm8+1JnsPQEqFyc44QTTojrW7X2nzvRSKwDCZVwjKC9YIkvHTFZZDBuoRKWR9pMXX3MsVGl9hxmC6f16UentPR695tht/PbI44Ky6O2tMmi7fHHUfLlLCD8WN856rioMoVOi4Ubh49KaFWoQ1HKAqnXEF2M3YFKuy2h36u1/9yJxqFSrwpdBYdxgOMUlLlTUmKKl0zgasESlUfaXK3K28ufvvuGZXv3kGq1cvGRg7l15Oi4c4eDhsE/F/3Cq8sWU+z1MqB9NveOPo7fn3l2zGP9zZZNPPrj92wrKqR9Sgo3HDuSi488Ogmzqd8KPTs2DlTOplb2+K6EY2ntP3eicWj/anTxQ+BfDioVnL9Fpd8cqrHchEmecSsleaSNR471QXIshIit3nnGSqluwOtAJ8AApmutn41ocyLwKbClfNNHWuuH4oxZ1JHWGryz0GVvhab8O87gyy+XJiSPNK+slJeXLOLn3O3kpGcwdeixDOuSk8DoE6/Q4+bVpUv4dutm2jlT+N2QoYzt0TNm26Bh8PG6Nby7eiVBw+A3hw/i/EFHVpuTrH0L0aX/AmMP2MegUq5stTm7Xr+LpVuepQ1fEdRmyizn8OWXG5r0sdA6CO5P0e7/hqpOOc9Fpfym2eaoiuavxitjpVRnoLPWeolSKh1YDEzWWq+p0uZE4A6tda0TOOXKOPGM4ofB/QHo0AzZZas0U27Yw5dfLWXs2HH1ziPdXVLCpHdep9Tnr5y85LRYeGTcBCYPGJjQfUiUIo+HM95+nQNuV2UVKafFwi0jRnP10GOj2l/3xWd8v21LZcqS02JhcKfOvHHO+VHLeBquD6H4QcBTvsXKstUmptzkZ+bM2a0qZzcY9LNu40R6pu7EaQkdu/nLA1xy/QG++3Zlkz0WRsGN4P2Bg+leTrAejWr7n2qX8RQiEeqdZ6y13q21XlL+7xJgLdC0L4laIR3YAa7/Vg7ElXmkD3Wge4eVceWRPr9wPiVeb9gsYncgwIPffxuz9GBT8NrypWEDMYRifmr+z5R4w1OKVuzdEzYQV7RdvncPP20PnwWstQ9KHuHgQBzadv1dm3jqkRGtLmd35Y4P6J6yq3Ig1lpz+727efahTAKO3CZ5LLR/ZcRATOjfgRXg+zlZYYlWrk4fAZVSPYEhwIIYL49SSi1XSs1USg1KRHCiDvxLwtJXKvNIjzejvT/ElUc6d/s2AjHuoPgNg+1FhfFE3WC+37YlZl1lm9nEmn15Ydt+2bkjZjlCl9/PvB254RsDW4msIxw61mYmjNkNtK6cXXfZj6RaD65yVvFzN/6EVPIKv2uax8K3EAhEb9cutC964RYhGkOt16ZWSqUBHwK3aK2LI15eAvTQWpcqpSYCnwD9YvQxFZgK0L179/rGLGIxtQv7b2WRdyxg6hRW5L2u2qWkkFtcFLU9YBhkOSLTZZqGDqmpMbf7DYN2KeH1d9unpGA1m/FHDMh2s4XsyH5MWaD9YZsqj7WpPUBcx7rZMbfHEzDjsIQ++FQci1K/CaulQ9M8FqZ2gBXwR7xgR5maZplP0fLV6spYheaKfwi8pbX+KPJ1rXWx1rq0/N9fAlalVPsY7aZrrYdprYdlZ8sPfULZRoam9xOZLlNe0i4OU485NiyvFsBmMjOmW/eoga2puHLI0Kj8XrNS9GnTlr5twz+4nNKnH+YYzwnNJsVZh0XU5DV3ANuxhN7Mq77gDOU+tjL9ulyFEfEzZ2gIahODul2YpKhqYJ8AKsbEPGUG55mNH48Q1GIwVqFkyFeAtVrrp6pp06m8HUqp4eX9HkhkoOLQlDKj2r4B5p6AE1QaqAxU1tOo8lWW6uu0vv244diROCwW0m027GYLw7rk8PSpExMReoM4tktX7j/+JFKsVtJsNhwWC4M6dOSVs86JaptitfLmuefTOS2dFKuVVKuV9s4UXj3r3JgfNlTWM2A9BrCHjjMOSL0J5Rjf4PvV1LRP78E2Hiff66TMb6UsYCXPnUG+40Uc1vovrtKQlCkF1fY1MHUOVftRqWBqh2rzMsrUNtnhiVaqNrOpjwN+BFYSSm0CuAfoDqC1flEpdQNwLaEHMW7gNq31IWdCyGzqhqG1huCmUGqT5fCEJsCX+nxsOLCfDqlp5GQ0j2LwnoCfdfv3k+VwVLs0ZQWtNesO7CdoGAzM7hA1izqqfWAHGPvB0g9lin1bvLUIBv1s3j8Ps8lKz3YjMDXS6mLx0FpDYD0QLP9dafoxi+ZPFv1oJXaWFDPj13W4/H7G9ezN0Z2aVkpJYzIMg1eWLWHOpg20TUnhtpFjOKxd1NMTIYRoNPVe9EM0H5+tX8tdX8/G0AZBw+BfSxZx1mGH8+j4CY269GJT4AkEGPPqdAo8B9NXZm/ayLTjTuDqRqwjLIQQtSH3ZVqIYq+Hu7+ejTcYwG8YGIRyZT//dR0/5W5PdniN7v7vvgkbiCs8Pvf7qPrCQgiRbDIYtxBzt2/DEuM5nSvg57P1a5MQUXJ9tfHXmNs18PG6NTFfE0KIZJHBuIUwVTP5REGjleprSg41+crSym7ZCyGavtb3Lt1Cje3eg6COXkXKYbFyThNdP7ohnRmRH1xBAWf3P7xxgxFCiBrIYNxCpNpsPHf6JBwWC06LBZvJjN1sYcpRgxme0zXZ4TW6+08YR056dJ7ro+MmYLPIvEUhRNMiqU0tTL7bxVebNuLy+zmxR0/6RKw21dp8vG4NX/66nnYpKdw6cgwd09KSHZIQohWT1KZ6CAaCrP55PUbQYODo/tjsiVtAo6G0dabw2yOOqnX7zQX55BYVMaB9doscqMb36k17ZwpZTme161WL+HkDARbv3oXFZOKYzl1iTiYUQlRPBuNqrJq7lvvPeYKg/2Dln3vfuZXhpw9JYlSJU+L1cvWMT1ixdw9WkwlfMMg5Awby53ETalx5qrmYvnghT8//CZvZTFBrOqWl89rZ5zWb1cOai2+2bOLWWV+GHshrsJnNTD9zMsd07pLs0IRoNuTjawxlRWXcM/FRSg6U4ip2V/556DdPcmB3QbLDS4hp38xm2Z7deAIBSnw+vMEgn65fy2vLliQ7tISYu30bzy74GW8wSInPh8vvZ2thAVd89iHJejTTEu0qKebGmTMo9fso9fko9fvI97i5/NMPKfP5kh2eEM2GDMYxzP34l5hv2Iah+d87c5MQUWK5/X7mbN6IL6LerzsQ4D/LlyYpqsR6fflS3BGLexhas7O4mPUH9icpqpbnk3VrMYzo3xWtNXM2b0pCREI0TzIYx1BaUBZ2e7qC3+un6EBJEiJKLHfAT3SpxZASn7dxg2kgB9yumNvNJhPF3paxj01BgceNz4j+XQkYBkXe6BXQhBCxyWAcw5DxR2IyRx8aR6qdYaccnYSIEquNw0mnGJO1TCjGdu/Z+AE1gFN698Vhjq5ZGzQMjujQMQkRNazc3Fx69epFfn4+AAUFBfTq1Ytt27Y16Pc9vkdPUqzRExuVUozp1qNBv7cQLYkMxjH0PqoHJ144BkeqvXKbI9XOkPFHctTxzX8BDaUUj48/BafFgrl8spbNbCbDYefO0cclObrEuPiowXROz8BRnlOsAKfFwn3lNY5bmm7dunHttddy9913A3D33XczdepUevRo2AHxuG49GJ7TFafl4DFNKV9opm8rT6sToi4kz7gaWmt++uQXZr36LcGAwYQpx3PCBaMxx7jaaq425R/g1WVL2FyQz7Fdcphy9BCyU1pO+k+Zz8d/V6/k6y2b6JCSyqVHD2nRM3z9fj9Dhw7lyiuv5OWXX2bp0qXYbLYG/74Bw2DGr+v4eN0arCYzFww6kpN792l1lcKEqA2pZyxEC+UPeDB0ELs1la+++orTTjuN2bNnM2HChLj61VrjCQSwmc2tcn1zIRqCLPohRAtT5Mpjw7brOTJzJSY060s78+5HHencuTOrVq2KazD+dstm/vT9N+wuKcFmtnDJUUdz5+ixspiHEA1EfrOEaIYMw2Dvjt9wRMZKrCYDs0lTsm0L8//3KV9+8yFPP/00u3fvrlffi3fv5IaZn7OjuJig1rgDft5YsYw/ffdNgvdCCFFBBmMhmqENe7+hS8oBbOZQpS6tNTdOy+OJP3XArT7lzjvv5I477qhX388tmI8nIkfbEwjw4drVlEhamBANQgZjIZqhEtcGqk73ePnNYrrlWDhjnAOr3sx1113HunXr+P777+vc95bC/JjbLSYTe8tK6xuyEOIQ5JmxEM1Q24whmLwHR+OpUzKZOiUTV8CC33QEZrOZxYsX16vvI7I7srO4mMipnYbW5KTLut5CNAS5MhaiGeqdPYqNpb3wBA6m2gUMhSdoY1D3a+Lq+6YRoyrzsys4LRZ+d8yxOFtgjrYQTYEMxkI0UwP6vMeyklMo8Dop81tZUXQUgaz3yHB2iK/f9tm8c94FDO/SFafFQk56BvccdwK3jBiVoMiFEJEkz1gIIYRoJNXlGcuVsRBCCJFkMhgLIYQQSSaDsRBCCJFkMhgLIYQQSSaDsRBCCJFkMhgLIYQQSSaDsRBCCJFkMhgLIYQQSVbjYKyU6qaU+p9Saq1SarVS6uYYbZRS6jml1Eal1Aql1DENE65IpHy3i5cXL+Teb2fzwZpVeAL+ZIckhBCtUm0KRQSA27XWS5RS6cBipdQcrfWaKm1OB/qV/xkB/LP8b9FErd2XxwUf/peAYeAJBPh0/Tqe+2Uen1xwMW2dKckOTwghWpUar4y11ru11kvK/10CrAVyIpqdDbyuQ+YDWUqpzgmPViTMHXNmUerzVdatdfn97Ckt5al5Pyc5MiGEaH3q9MxYKdUTGAIsiHgpB8it8v8dRA/Yooko8njYmH8ganvAMJi16dckRCSEEK1brQdjpVQa8CFwi9a6OPLlGF8SVYFCKTVVKbVIKbVo3759dYtUJIzZZIo+OeVsJnM1rwghhGgotRqMlVJWQgPxW1rrj2I02QF0q/L/rsCuyEZa6+la62Fa62HZ2dn1iVckQJrNxvCcrphV+Gcou9nM+YOOSFJUQgjRetVmNrUCXgHWaq2fqqbZZ8Cl5bOqRwJFWuvdCYxTJNjfJpxOTnoGqVYbDosFp8XK0M45XDdM5t0JIURjq81s6jHAFGClUmpZ+bZ7gO4AWusXgS+BicBGwAVckfBIRUJ1TEvjm0uv5Ofc7ewoKWZgdgeO7tgp2WEJIUSrVONgrLWeS+xnwlXbaOD6RAUlGofZZGJsj57JDkMIIVo9WYFLCCGESDIZjIUQQogkk8FYCCGESDIZjIUQQogkk8FYCCGESDIVmgidhG+s1D5gW1K+ed21B/YnO4gG1NL3D1r+Psr+NX8tfR9b+v5B7faxh9Y6atWrpA3GzYlSapHWeliy42goLX3/oOXvo+xf89fS97Gl7x/Et49ym1oIIYRIMhmMhRBCiCSTwbh2pic7gAbW0vcPWv4+yv41fy19H1v6/kEc+yjPjIUQQogkkytjIYQQIslkMK5CKWVWSi1VSs2I8dqJSqkipdSy8j/3JyPGeCiltiqlVpbHvyjG60op9ZxSaqNSaoVS6phkxBmPWuxjsz6PSqkspdQHSql1Sqm1SqlREa8363NYi/1r7uevf5XYlymlipVSt0S0abbnsJb719zP4a1KqdVKqVVKqXeUUo6I1+t1/mpTQrE1uRlYC2RU8/qPWutJjRhPQzhJa11dHtzpQL/yPyOAf5b/3dwcah+heZ/HZ4FZWuvfKKVsQErE6839HNa0f9CMz5/Wej0wGEIf/oGdwMcRzZrtOazl/kEzPYdKqRzgJmCg1tqtlHoPuBD4T5Vm9Tp/cmVcTinVFTgD+FeyY0mis4HXdch8IEsp1TnZQYkQpVQGcDzwCoDW2qe1Loxo1mzPYS33ryUZD2zSWkcuftRsz2GE6vavubMATqWUhdCHxV0Rr9fr/MlgfNAzwB8A4xBtRimlliulZiqlBjVOWAmlgdlKqcVKqakxXs8Bcqv8f0f5tuakpn2E5nseewP7gH+XP075l1IqNaJNcz6Htdk/aL7nL9KFwDsxtjfnc1hVdfsHzfQcaq13Ak8C24HdQJHWenZEs3qdPxmMAaXUJCBPa734EM2WEFrG7Gjg78AnjRFbgo3RWh9D6DbK9Uqp4yNeVzG+prlNt69pH5vzebQAxwD/1FoPAcqAuyPaNOdzWJv9a87nr1L5LfizgPdjvRxjW3M5h0CN+9dsz6FSqg2hK99eQBcgVSl1SWSzGF9a4/mTwThkDHCWUmor8C4wTin1ZtUGWutirXVp+b+/BKxKqfaNHmkctNa7yv/OI/QcZ3hEkx1Atyr/70r0LZgmraZ9bObncQewQ2u9oPz/HxAavCLbNNdzWOP+NfPzV9XpwBKt9d4YrzXnc1ih2v1r5ufwZGCL1nqf1toPfASMjmhTr/MngzGgtZ6mte6qte5J6NbKt1rrsE87SqlOSilV/u/hhI7dgUYPtp6UUqlKqfSKfwOnAKsimn0GXFo+G3AkoVswuxs51HqrzT425/Ootd4D5Cql+pdvGg+siWjWbM9hbfavOZ+/CL+l+lu4zfYcVlHt/jXzc7gdGKmUSinfh/GEJv1WVa/zJ7OpD0EpdQ2A1vpF4DfAtUqpAOAGLtTNa8WUjsDH5b8DFuBtrfWsiH38EpgIbARcwBVJirW+arOPzf083gi8VX4bcDNwRQs7hzXtX3M/fyilUoAJwO+rbGsx57AW+9dsz6HWeoFS6gNCt9oDwFJgeiLOn6zAJYQQQiSZ3KYWQgghkkwGYyGEECLJZDAWQgghkkwGYyGEECLJZDAWQgghkkwGYyGEECLJZDAWQgghkkwGYyGEECLJ/h/Etirxu4QjCwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "clf = svm.SVC(kernel='linear')\n",
    "clf.fit(X,y)\n",
    "p = clf.predict(X)\n",
    "d = p == y\n",
    "plt.figure(figsize=(8,4))\n",
    "plt.scatter(X[:,0],X[:,1], c=y)\n",
    "for i in range(len(y)):\n",
    "    if not d[i]: \n",
    "        plt.annotate('X', xy=X[i], xytext=X[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
